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Cross-lingual transfer, where a high-resource transfer language is used to improve the accuracy of a low-resource task language, is now an invaluable tool for improving performance of natural language processing (NLP) on low-resource languages.
Type/token ratios: What do they really tell us?
Brian Richards. 1987 · 1987
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Cumulated gain-based evaluation of ir techniques
Kalervo Järvelin and Jaana Kekäläinen. 2002 · 2002
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Ethnologue: Languages of the World Sixteenth edition
Paul M Lewis. 2009 · 2009
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Learning to rank for information retrieval
Tie-Yan Liu et al. 2009 · 2009
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On the importance of pivot language selection for statistical machine translation
Michael Paul, Hirofumi Yamamoto, Eiichiro Sumita, and Satoshi Nakamura. 2009 · 2009
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From RankNet to LambdaRank to LambdaMART: An overview
Chris J.C. Burges. 2010 · 2010
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Intelligent selection of language model training data
Robert C. Moore and William Lewis. 2010 · 2010
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Syntactic structures of the world’s languages
Chris Collins and Richard Kayne. 2011 · 2011
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Effective measures of domain similarity for parsing
Barbara Plank and Gertjan van Noord. 2011 · 2011
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Cross-lingual word clusters for direct transfer of linguistic structure
Oscar Täckström, Ryan McDonald, and Jakob Uszkoreit. 2012 · 2012
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WALS Online
Matthew S. Dryer and Martin Haspelmath, editors. 2013 · 2013
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Token and type constraints for cross-lingual part-of-speech tagging
Oscar Täckström, Dipanjan Das, Slav Petrov, Ryan McDonald, and Joakim Nivre. 2013 · 2013
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PHOIBLE Online
Steven Moran, Daniel McCloy, and Richard Wright, editors. 2014 · 2014
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Neural machine translation by jointly learning to align and translate
Dzmitry Bahdanau, Kyunghyun Cho, and Yoshua Bengio. 2015 · 2015
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Multi-task learning for multiple language translation
Daxiang Dong, Hua Wu, Wei He, Dianhai Yu, and Haifeng Wang. 2015 · 2015
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Many languages, one parser
Waleed Ammar, George Mulcaire, Miguel Ballesteros, Chris Dyer, and Noah Smith. 2016 · 2016
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Deep biaffine attention for neural dependency parsing
Timothy Dozat and Christopher D Manning. 2016 · 2016
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End-to-end sequence labeling via bi-directional lstm-cnns-crf
Xuezhe Ma and Eduard Hovy. 2016 · 2016
Cited alongside, same era.
Survey on the use of typological information in natural language processing
Helen O’Horan, Yevgeni Berzak, Ivan Vulic, Roi Reichart, and Anna Korhonen. 2016 · 2016
Cited alongside, same era.
Neural machine translation of rare words with subword units
Rico Sennrich, Barry Haddow, and Alexandra Birch. 2016 · 2016
Cited alongside, same era.
Cross-lingual wikification using multilingual embeddings
Chen-Tse Tsai and Dan Roth. 2016 · 2016
Cited alongside, same era.
Polyglot neural language models: A case study in cross-lingual phonetic representation learning
Yulia Tsvetkov, Sunayana Sitaram, Manaal Faruqui, Guillaume Lample, Patrick Littell, David Mortensen, Alan W Black, Lori Levin, and Chris Dyer. 2016b · 2016
Cited alongside, same era.
Dynamic Data Selection for Neural Machine Translation
Marlies van der Wees, Arianna Bisazza, and Christof Monz. 2017 · 2017
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Are all languages equally hard to language-model?
Ryan Cotterell, Sebastian J. Mielke, Jason Eisner, and Brian Roark. 2018 · 2018
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On the relation between linguistic typology and (limitations of) multilingual language modeling
Daniela Gerz, Ivan Vulić, Edoardo Maria Ponti, Roi Reichart, and Anna Korhonen. 2018 · 2018
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Glottolog 3.3
Harald Hammarström, Robert Forkel, and Martin Haspelmath. 2018 · 2018
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Subword regularization: Improving neural network translation models with multiple subword candidates
Taku Kudo. 2018 · 2018
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Neural factor graph models for cross-lingual morphological tagging
Chaitanya Malaviya, Matthew R. Gormley, and Graham Neubig. 2018 · 2018
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Bitext name tagging for cross-lingual entity annotation projection
Dongxu Zhang, Boliang Zhang, Xiaoman Pan, Xiaocheng Feng, Heng Ji, and Weiran XU. 2016 · 2016
Cited alongside, same era.
Transfer learning for low-resource neural machine translation
Barret Zoph, Deniz Yuret, Jonathan May, and Kevin Knight. 2016 · 2016
Cited alongside, same era.
Cross-lingual character-level neural morphological tagging
Ryan Cotterell and Georg Heigold. 2017 · 2017
Cited alongside, same era.
Google’s multilingual neural machine translation system: Enabling zero-shot translation
Melvin Johnson, Mike Schuster, Quoc Le, Maxim Krikun, Yonghui Wu, Zhifeng Chen, Nikhil Thorat, Fernand a Viégas, Martin Wattenberg, Greg Corrado, Macduff Hughes, and Jeffrey Dean. 2017 · 2017
Cited alongside, same era.
Lightgbm: A highly efficient gradient boosting decision tree
Guolin Ke, Qi Meng, Thomas Finley, Taifeng Wang, Wei Chen, Weidong Ma, Qiwei Ye, and Tie-Yan Liu. 2017 · 2017
Cited alongside, same era.
Cross-lingual transfer learning for POS tagging without cross-lingual resources
Joo-Kyung Kim, Young-Bum Kim, Ruhi Sarikaya, and Eric Fosler-Lussier. 2017 · 2017
Cited alongside, same era.
URIEL and lang2vec: Representing languages as typological, geographical, and phylogenetic vectors
Patrick Littell, David R Mortensen, Ke Lin, Katherine Kairis, Carlisle Turner, and Lori Levin. 2017 · 2017
Cited alongside, same era.
Later among the works it cites.
Rapid adaptation of neural machine translation to new languages
Graham Neubig and Junjie Hu. 2018 · 2018
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XNMT: The extensible neural machine translation toolkit
Graham Neubig, Matthias Sperber, Xinyi Wang, Matthieu Felix, Austin Matthews, Sarguna Padmanabhan, Ye Qi, Devendra Singh Sachan, Philip Arthur, Pierre Godard, John Hewitt, Rachid Riad, and Liming Wang. 2018 · 2018
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Universal dependencies 2.2
Joakim Nivre, Mitchell Abrams, Željko Agić, and et al. 2018 · 2018
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Distant supervision from disparate sources for low-resource part-of-speech tagging
Barbara Plank and Željko Agić. 2018 · 2018
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Isomorphic transfer of syntactic structures in cross-lingual nlp
Edoardo Maria Ponti, Roi Reichart, Anna Korhonen, and Ivan Vulić. 2018 · 2018
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When and why are pre-trained word embeddings useful for neural machine translation?
Ye Qi, Devendra Sachan, Matthieu Felix, Sarguna Padmanabhan, and Graham Neubig. 2018 · 2018
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Neural cross-lingual named entity recognition with minimal resources
Jiateng Xie, Zhilin Yang, Graham Neubig, Noah A. Smith, and Jaime Carbonell. 2018 · 2018
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Ncrf++: An open-source neural sequence labeling toolkit
Jie Yang and Yue Zhang. 2018 · 2018
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On difficulties of cross-lingual transfer with order differences: A case study on dependency parsing
Wasi Uddin Ahmad, Zhisong Zhang, Xuezhe Ma, Eduard Hovy, Kai-Wei Chang, and Nanyun Peng. 2019 · 2019
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Zero-shot neural transfer for cross-lingual entity linking
Shruti Rijhwani, Jiateng Xie, Graham Neubig, and Jaime Carbonell. 2019 · 2019
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